Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Gao, Jingyue"'
Reinforcement learning (RL) has achieved remarkable success in complex robotic systems (eg. quadruped locomotion). In previous works, the RL-based controller was typically implemented as a single neural network with concatenated observation input. Ho
Externí odkaz:
http://arxiv.org/abs/2306.17411
Click-Through Rate (CTR) prediction serves as a fundamental component in online advertising. A common practice is to train a CTR model on advertisement (ad) impressions with user feedback. Since ad impressions are purposely selected by the model itse
Externí odkaz:
http://arxiv.org/abs/2306.03527
Autor:
Zhao, Zhishan, Gao, Jingyue, Zhang, Yu, Han, Shuguang, Lou, Siyuan, Sheng, Xiang-Rong, Wang, Zhe, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
Cascading architecture has been widely adopted in large-scale advertising systems to balance efficiency and effectiveness. In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles m
Externí odkaz:
http://arxiv.org/abs/2306.03516
Reinforcement learning often suffer from the sparse reward issue in real-world robotics problems. Learning from demonstration (LfD) is an effective way to eliminate this problem, which leverages collected expert data to aid online learning. Prior wor
Externí odkaz:
http://arxiv.org/abs/2212.01509
Autor:
Sheng, Xiang-Rong, Gao, Jingyue, Cheng, Yueyao, Yang, Siran, Han, Shuguang, Deng, Hongbo, Jiang, Yuning, Xu, Jian, Zheng, Bo
Despite the development of ranking optimization techniques, pointwise loss remains the dominating approach for click-through rate prediction. It can be attributed to the calibration ability of the pointwise loss since the prediction can be viewed as
Externí odkaz:
http://arxiv.org/abs/2208.06164
Autor:
Wang, Siwei, Liu, Wei, Wei, Bowen, Wang, Aihua, Wang, Yiwen, Wang, Wen, Gao, Jingyue, Jin, Yue, Lu, Hang, Ka, Yuxiu, Yue, Qingyun
Publikováno v:
In Journal of Ethnopharmacology 10 August 2024 330
Publikováno v:
In Environmental Research 1 July 2024 252 Part 4
Publikováno v:
In Bioorganic Chemistry October 2024 151
Autor:
Cheng, Xin, Liu, Yanting, Yu, Ziyi, Gao, Jingyue, Dai, Yan, Chen, Jia, Liu, Yue, Wang, Chaofan, Shuai, Chuanmin, Li, Wenjing, Xie, Zhiju
Publikováno v:
In Environmental Development March 2024 49
Using the generalized variational framework, the strong/weak existence and uniqueness of solutions are derived for a class of distribution dependent stochastic porous media equations on general measure spaces, which also extends the classical well-po
Externí odkaz:
http://arxiv.org/abs/2103.10135